Literature DB >> 11347959

Prediction of drug toxicity.

M T Cronin1.   

Abstract

The use of computer-aided methods to predict the toxicity of drugs is described. These methods can assist in the identification of toxic compounds early in the drug development process. Thus, there is potential for these methods to be combined with combinatorial synthesis and library design. Quantitative structure-activity relationships allow for the prediction of individual endpoints, usually for restricted groups of compounds. Expert systems for toxicity prediction are based on a number of methodologies, each with its own strengths and weaknesses. The relative merit of each individual technique and methodology is described. However, more toxicity data are required, both to produce and to validate expert systems. Potential sources of new data include the use of high-throughput screening and microarrays for toxicology.

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Year:  2001        PMID: 11347959     DOI: 10.1016/s0014-827x(01)01018-7

Source DB:  PubMed          Journal:  Farmaco        ISSN: 0014-827X


  2 in total

1.  Design of an expert system for mitigating trace element toxicity in cancer risk management.

Authors:  P T Krishna Kumar; P T Vinod; Vir V Phoha; S S Iyengar; Puneeth Iyengar
Journal:  Cancer Inform       Date:  2013-02-04

2.  Mollusc-Derived Brominated Indoles for the Selective Inhibition of Cyclooxygenase: A Computational Expedition.

Authors:  Md Mominur Rahman; Md Junaid; S M Zahid Hosen; Mohammad Mostafa; Lei Liu; Kirsten Benkendorff
Journal:  Molecules       Date:  2021-10-29       Impact factor: 4.411

  2 in total

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